Staff Software Engineer, Public Sector
AI summary of the role
Staff Software Engineer on Scale's Public Sector engineering team, building core agentic platform components for forward-deployed federal systems.
What you’ll do
- Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency
- Define technical strategy for agentic guardrails, explainability, and fleet orchestration
- Ensure system reliability and performance across multiple security classifications and network types
- Mentor engineers in defining requirements with stakeholders and gathering acceptance
What you’ll bring
- Full Stack Development: proficiency in front-end, back-end development and infrastructure, including modern web frameworks, programming languages, and databases
- Cloud-Native Technologies: familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
- Data Engineering: knowledge of ETL processes and building data pipelines; understanding of data modeling, data warehousing, and data governance
- AI Application Integration: familiarity with integrating LLMs and building agentic workflows, including prompt engineering, RAG, and agent orchestration
Technologies
AWS · Azure · GCP · Docker · Kubernetes · LLM · RAG · ETL · agent orchestration · prompt engineering
About Scale AI
Data, evals, and GenAI platform for frontier labs, enterprises, and governments — the picks-and-shovels layer for production AI.
Series G
Source and classification
Internal deployment & tooling · Evidence for this classification:
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature
More from the job description
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. Define technical strategy for agentic guardrails, explainability, and fleet orchestration. Ensure system reliability and performance across multiple security classifications and network types. Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance. Communicate high-level t [... source excerpt omitted ...] he long-term product strategy and technical roadmap for the Federal business unit. Consult on the architecture of AI-powered solutions for large-scale federal contracts. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowle [... source excerpt omitted ...] me technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displaye
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